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https://doi.org/10.1080/1331677X.2021.1894198

Wasserstein distance-based probabilistic linguistic TODIM method with application to the evaluation of sustainable rural tourism potential

Shitao Zhang
Zhangjiao Wu
Zhenzhen Ma
Xiaodi Liu
Jian Wu


Puni tekst: engleski pdf 3.155 Kb

str. 409-437

preuzimanja: 95

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Sažetak

The evaluation of sustainable rural tourism potential is a key work
in sustainable rural tourism development. Due to the complexity
of the rural tourism development situation and the limited cognition of people, most of the assessment problems for sustainable
rural tourism potential are highly uncertain, which brings challenges to the characterisation and measurement of evaluation
information. Besides, decision-makers (DMs) usually do not exhibit
complete rationality in the practical evaluation process. To tackle
such problems, this paper proposes a new behaviour multi-attribute group decision-making (MAGDM) method with probabilistic
linguistic terms sets (PLTSs) by integrating Wasserstein distance
measure into TODIM (an acronym in Portuguese of interactive
and multicriteria decision making) method. Firstly, a new
Wasserstein-based distance measure with PLTSs is defined, and
some properties of the proposed distance are developed.
Secondly, based on the correlation coefficient among attributes
and standard deviation of each attribute, an attribute weight
determination method (called PL-CRITIC method) is proposed.
Subsequently, a Wasserstein distance-based probabilistic linguistic
TODIM method is developed. Finally, the proposed method is
applied to the evaluation of sustainable rural tourism potential,
along with sensitivity and comparative analyses, as a means of
illustrating the effectiveness and advantages of the new method.

Ključne riječi

Probabilistic linguistic terms set; Wasserstein distance; CRITIC method; multiattribute group decisionmaking; psychological behaviour; sustainable rural tourism evaluation

Hrčak ID:

301838

URI

https://hrcak.srce.hr/301838

Datum izdavanja:

31.3.2023.

Posjeta: 196 *